A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks

被引：27
|
作者：
Zheng, Jianchao [1 ]
Cai, Yueming [1 ]
Anpalagan, Alagan [2 ]
机构：
[1] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[2] Ryerson Polytech Inst, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
来源：
IEEE COMMUNICATIONS LETTERS | 2015年 / 19卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Small cell networks; interference mitigation; distributed channel allocation; potential game; no-regret learning;
D O I：
10.1109/LCOMM.2014.2377156
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, we investigate the distributed channel selection for interference mitigation in small cell networks considering the random deployment and dynamic on-off activity. Game theory is adopted to analyze the distributed and interactive decision making, and the problem is formulated as an exact potential game, in which the Nash equilibrium (NE) minimizes the expected network interference, either globally or locally. Furthermore, we design a fully distributed, no-regret channel selection algorithm to find the NE solution in dynamic environment.
引用
收藏
页码：251 / 254
页数：4
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